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raykallen authored Jan 27, 2023
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## [Detection of Anomalous authentication using Relational Graph Neural Network (RGCN)](/anomalous-auth-detection)
This model shows an application of a graph neural network for anomalous authentication detection in Azure-AD signon heterogeneous graph. An Azure-AD signon dataset includes four types of nodes, authentication, user, device and service application nodes are used for modeling. A relational graph neural network (RGCN)is used to identify anomalous authentications from azure-ad signon input.

## [Asset Clustering using Windows Event Logs](/asset-clustering)
This model is a clustering algorithm to assign each host present in the dataset to a cluster based on aggregated and derived features from Windows Event Logs of that particular host.

# Repo Structure
Each prototype has its own directory that contains everything belonging to the specific prototype. Directories can include the following subfolders and documentation:

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